Dr. Soujanya Poria সৌজন্য পড়িয়া

Soujanya Poria, PhD – Researcher and Academic Profile

Contact Information:
Email: sporia@ntu.edu.sg
Affiliation: Nanyang Technological University (NTU), Singapore

Provost’s Chair Early Career Professor, Singapore University of Technology and Design, Singapore

Academic and Professional Background

Soujanya Poria is a distinguished researcher and academic in the field of Computer Science, specializing in Natural Language Processing (NLP), Sentiment Analysis, and Multimodal AI. He completed his PhD in Computer Science from the University of Stirling, UK, where his research focused on understanding sentiment in multimodal data.

Prior to his PhD, he earned his Bachelor of Engineering (BEng) in Computer Science from Jadavpur University, India, in 2013. During his undergraduate studies, he was honored with the Best Undergraduate Thesis Award and the Researcher Award from Jadavpur University, along with a Gold-Plated Silver Medal from the university and Tata Consultancy Services (TCS) for his final year project.

Currently, Soujanya serves as a Research Fellow at NTU Temasek Laboratories, where he leads cutting-edge research on aspect-based sentiment analysis across multiple domains and modalities. His work has garnered significant recognition, with over 1,449 citations on Google Scholar and an h-index of 22. According to a recent article in Information Processing & Management, he is ranked among the top 25 most productive authors in Sentiment Analysis since 2000.

Research Interests

Soujanya’s research spans a wide range of topics in Artificial Intelligence (AI) and Cognitive Science, including:

  • Natural Language Processing (NLP)
  • Sentiment Analysis and Emotion Recognition
  • Deep Learning and Knowledge-Based Systems
  • Semantic Networks and Cognitive Computation
  • Human-Computer Interaction (HCI)
  • Multimodal AI: Integrating visual, audio, and textual data for advanced sentiment and emotion analysis.

Key Achievements and Awards

  • Best Student Paper Award at MICAI 2012 for his work on Fuzzy Clustering for Semi-Supervised Learning: Construction of an Emotion Lexicon.
  • Stirling University International Research Scholarship Award.
  • Fellow at the Brain Science Foundation (USA).
  • Honorary Member at the Computational Neuroscience Lab, University of Oxford.
  • Recognized as one of the top 25 most influential researchers in Sentiment Analysis since 2000.

Projects at Nanyang Technological University

Soujanya has initiated and led several high-impact projects at NTU, including:

  1. Multimodal Affect Recognition: A pioneering project that fuses visual, audio, and textual cues for multimodal sentiment analysis and emotion recognition.
  2. Sentic Patterns: An innovative approach that combines linguistic patterns with deep learning for advanced text understanding.

Professional Contributions

Soujanya has actively contributed to the academic community as a Program Committee (PC) Member at numerous prestigious conferences, including:

  • IJCAI 2017
  • EMNLP 2017
  • ACM-MM 2017
  • ICMI 2017
  • IJCNN 2017
  • IJCNLP 2017

He has also served as an Associate Editor for Cognitive Computation (CogComp) since February 2017 and as a reviewer for renowned journals such as:

  • Knowledge-Based Systems
  • IEEE Computational Intelligence Magazine
  • Artificial Intelligence Review
  • Neurocomputing
  • Neural Networks
  • Transactions on Affective Computing

Citations and Impact

  • Google Scholar: 1,449 citations, h-index of 22.
  • Scopus: 588 citations, h-index of 15.

Recent Community Services (2014–2017)

  • Program Committee Member for IJCNLP, ACM-MM, EMNLP, IJCAI, CICLing, FLAIRS, and SENTIRE.
  • Regular reviewer for top-tier conferences such as AAAI, IJCNN, and CICLing.

Current Role and Collaborations

Soujanya is currently a Provost’s Chair Early Career Professor at the Singapore University of Technology and Design (SUTD). He previously held the prestigious NTU Presidential Postdoctoral Fellowship and worked as a Senior Scientist at the Institute of High-Performance Computing (IHPC), ASTAR.

He is open to collaborations and welcomes fellow researchers to connect via email. For more details about his work, visit his Google Scholar profile or explore his publications catalog.

DeCLaRe Lab

Soujanya leads the DeCLaRe Lab, which focuses on solving challenging problems in AI, including:

  • Large Language Models (LLMs)
  • Multimodal AI
  • Commonsense Reasoning
  • Advanced Sentiment and Emotion Analysis